New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

In the last few years, Chinese AI startup MiniMax has become one of the most exciting in the crowded global AI marketplace, ...
InfoQ

Google Publishes LLM Self-Correction Algorithm SCoRe

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article introduces practical methods for ...

MIT's new fine-tuning method lets LLMs learn new skills without losing old ones

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
Techzine Europe

Cursor’s advanced AI coding model has Chinese origins

Cursor made a strong impression last week with Composer 2. However, it turns out that most of this model is not based on ...
Forbes

Latest OpenAI Announcement Showcases How Reinforcement Fine-Tuning Makes Quick Work Of Turning Generative AI Into Domain-Specific Wizards

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the recently revealed feature ...
Sify.com

Pressure Paradox: How Punishing AI Makes Better LLMs

So far, scientists have relied on positive reinforcement learning to train LLMs, but the opposite seems to be giving much better results, finds Satyen K. Bordoloi… This is a finding that’ll have ...
i-SCOOP

OpenClaw RL and the rise of next state reinforcement learning for real world agents

OpenClaw RL introduces an asynchronous reinforcement learning framework that trains agents from live conversations, tool ...